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Helicone

Freemium
observabilityllmaideveloper toolsanalyticsopen sourcemonitoringdebuggingapi management

Helicone is an open-source observability platform for generative AI, providing developers with tools to monitor, debug, and optimize their large language model (LLM) applications through detailed logging and analytics.

Try it out

Helicone provides a robust observability solution specifically tailored for developers building applications on top of large language models. It allows teams to log requests, monitor costs, track latency, and analyze user behavior in real time. The platform is built for engineers and data scientists who need to understand and improve their AI product's performance and efficiency. Its unique value proposition lies in its open-source nature, offering flexibility for self-hosting and deep customization, coupled with a managed cloud service for ease of use. By providing granular insights into prompts, responses, and errors, Helicone empowers developers to debug issues faster and deliver more reliable AI-powered experiences.

Pros

  • Open-source core allows for self-hosting, providing full data control and customization.
  • Detailed request/response logging with custom properties for deep debugging and analysis.
  • Real-time cost tracking and budget alerting to proactively manage LLM API spend.
  • User-centric analytics to trace individual user sessions and behavior across multiple LLM calls.
  • Advanced semantic caching layer to reduce latency and costs for repeated queries.
  • Simple integration via a one-line change to the API base URL for most providers.

Cons

  • The free tier's request limit (100,000 requests/month) may be quickly exceeded by active applications.
  • Self-hosting the open-source version requires significant technical expertise and ongoing infrastructure management.
  • The UI, while powerful, can be dense and potentially overwhelming for new users without a clear monitoring strategy.
  • Focused primarily on LLM observability, it may not replace the need for a broader application performance monitoring (APM) tool for the entire tech stack.

Key features

  • Request & Response Logging
  • Cost Monitoring & Budgeting
  • Performance Dashboards (Latency, Tokens)
  • User Tracking & Session Analysis
  • Prompt Management & Templating
  • Semantic Caching
  • Custom Properties & Metadata
  • Real-time Error & Usage Alerts

Integrations

OpenAIAnthropicAzure OpenAIGoogle GeminiMistral AILangChainLlamaIndexLiteLLMAWS BedrockTogether AI

Target audience

Developers, engineers, and product teams building applications with large language models (LLMs) who need to monitor, debug, and optimize their AI systems.

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Founded

2022

Headquarters

San Francisco, USA

Pricing Tiers

Hobby

100,000 requests/month, 7-day data retention, Community support.

Free

Pro

1,000,000 requests/month, 30-day data retention, Unlimited seats, Email support.

$75/mo

Enterprise

Unlimited requests, Custom data retention, SSO & SAML, Dedicated support, On-premise support.

Custom

Frequently Asked Questions

Top Alternatives to Helicone

Langfuse

A strong alternative with a heavy focus on prompt management and evaluation datasets, making it ideal for teams iterating on prompt quality.

Portkey

Portkey offers an AI gateway with features like load balancing and fallbacks, appealing to users who need robust API management alongside observability.

DataDog LLM Observability

This is a natural choice for large enterprises already embedded in the DataDog ecosystem, as it extends their existing APM platform to include LLMs.

Arize AI

Arize is a more comprehensive MLOps platform with deep features for model performance monitoring and drift detection, suiting teams with mature ML workflows.

Ready to get started?

Join thousands of users and see how Helicone can transform your workflow today.

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